MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- The department of transportation’s study on driving speed and miles per gallon for midsize automobiles resulted in the data below.
- Plot the speed and miles per gallon using a
scatter plot with speed on the horizontal axis. - Compute the sample
mean and standard deviation for each variable. - Compute the sample
correlation coefficient . Is there a positive ornegative correlation between these two variables?
- Plot the speed and miles per gallon using a
Speed (Miles per Hour) |
30 |
50 |
40 |
55 |
30 |
25 |
60 |
25 |
50 |
55 |
Miles per Gallon |
28 |
25 |
25 |
23 |
30 |
32 |
21 |
35 |
26 |
25 |
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- Look at the following scatterplot. Choose the number that BEST estimates the correlation. a b с d -0.87 0.10 y 0.99 50 Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer. None of the above 40 30 20 6 8 10 X 12 14 16arrow_forwardIn a study looking at undergraduate students' perceptions of sense of community at their university, a researcher hypothesizes that the farther away students live from campus (in miles), the less they feel they are part of the university community. The researcher collected data for the following two variables - miles from campus and part of community (continuous rating scale from 1-10 of how much they felt part of the university community 1. Run a PEARSON CORRELATION in Jamovi and report your findings in APA. Miles from campus Part of community 2 9. 19 7 32 3 23 9. 40 5 5 20 1 16 2 10 8 30 5 3 4 36 8 17 4 7 25 4 12 4arrow_forwardThe data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. What is the best predicted value for y given x = 60? Assume that the variables x and y have a significant correlation. Age, x Pressure, y A. 152 B. 148 C. 150 D. 146 38 41 45 48 51 53 57 116 120 123 131 142 145 148 61 65 150 152arrow_forward
- Based on the data below, answer the following question: Draw a scatter diagram that highlights the relationship between Local Tuition and Students per Faculty. Find out the correlation coefficient between Local Tuition and Students per Faculty. (Keep 2 decimal places.) Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management (Bangalore) 380 5 3,935 16,000 No No 7,500 8 National University of Singapore 147 6 6,146 7,170…arrow_forwardA store manager wishes to find out whether there is a relationship between the age of the employees and the number of sick days they incur each year. The data for the sample are shown below. Calculate the correlation coefficient (r ) and describe the relationship in terms of strength and direction. Y X-X BAR Y-Y BAR (X-X BAR) (Y-Y BAR) (X-X BAR)? (Y-Y BAR) 16 12 18 26 39 48 53 58 INTERPRETATION: C956arrow_forwardCreate the scatterplot and identify Northern Ireland (ID 11) on the plot. Does it seem to be in line with the other regions or not? If not, why, and how do you think its removal might affect the correlation? Explain.arrow_forward
- The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are shown in the attached data table with a sample correlation coefficient r of 0.923. Remove the data entry for the man who is 51 years old and has this affects the correlation coefficient r. Use technology. systolic blood pressure of 198 millimeters of mercury from the data set and find the new correlation coefficient. Describe how E Click the icon to view the data set. The new correlation coefficient r going from 0.923 to Data table (Round to three decimal places as needed.) Age, x Systolic blood pressure, y 16 109 26 122 37 145 44 131 51 198 63 185 71 199 30 131 58 175 21 119 Print Donearrow_forwardAssume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40 randomly selected men. The linear correlation coefficient r is 0.563. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. A. The coefficient of determination is 0.317. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O B. The coefficient of determination is 0.683. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors. O C. The coefficient of determination is 0.683. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O D. The coefficient of determination is 0.317. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors.arrow_forwardEstimate the most likely degree of correlation for the scatterplot Options: a. -.99 b. 0 c. .70 d. .30arrow_forward
- If the Correlation Coefficient (r) between two variable was calculated to be 0.7898, what percent (%) of the variation of the dependent variable is due to the variation of the independent variable? Group of answer choices 103.1% 33.1% 62.4% 94.0%arrow_forwardState whether the following Scatter plot has: 1- Positive correlation 2- Negative correlation 3 No correlation Next Questionarrow_forwarduse the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?arrow_forward
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